@article{8f8736fbda964d2c991c3a43b9cda2c8,
title = "Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach",
abstract = "In this article, we present a Bayesian framework for multivariate longitudinal data analysis with a focus on selection of important elements in the generalized autoregressive matrix. An efficient Gibbs sampling algorithm was developed for the proposed model and its implementation in a comprehensive R package called MLModelSelection is available on the comprehensive R archive network. The performance of the proposed approach was studied via a comprehensive simulation study. The effectiveness of the methodology was illustrated using a nonalcoholic fatty liver disease dataset to study correlations in multiple responses over time to explain the joint variability of lung functions and body mass index. Supplementary materials for this article, including a standardized description of the materials needed to reproduce the work, are available as an online supplement.",
author = "Lee, {Kuo Jung} and Chen, {Ray Bing} and Kwak, {Min Sun} and Keunbaik Lee",
note = "Funding Information: Mathematics Division of the National Center for Theoretical Sciences of Taiwan, National Research Foundation of Korea, NRF‐2019R1F1A1058553; Ministry of Science and Technology in Taiwan, MOST 108‐2118‐M‐006‐011 Funding information Funding Information: information Mathematics Division of the National Center for Theoretical Sciences of Taiwan, National Research Foundation of Korea, NRF-2019R1F1A1058553; Ministry of Science and Technology in Taiwan, MOST 108-2118-M-006-011This project was supported by Basic Science Research Program through the National Research Foundation of Korea (KRF) funded by the Ministry of Education, Science and Technology (NRF-2019R1F1A1058553 for Keunbaik Lee). The research of Ray-Bing Chen is supported in part by the Mathematics Division of the National Center for Theoretical Sciences in Taiwan. The research of Chen and Lee is supported in part by the Ministry of Science and Technology in Taiwan under grant MOST 108-2118-M-006-011 (Chen) and MOST 109-2118-M-006 -010 (Lee). The authors would like thank the referees, the associate editor and the editor for their insightful and constructive comments that have substantially improved this article. Funding Information: This project was supported by Basic Science Research Program through the National Research Foundation of Korea (KRF) funded by the Ministry of Education, Science and Technology (NRF‐2019R1F1A1058553 for Keunbaik Lee). The research of Ray‐Bing Chen is supported in part by the Mathematics Division of the National Center for Theoretical Sciences in Taiwan. The research of Chen and Lee is supported in part by the Ministry of Science and Technology in Taiwan under grant MOST 108‐2118‐M‐006‐011 (Chen) and MOST 109‐2118‐M‐006 ‐010 (Lee). The authors would like thank the referees, the associate editor and the editor for their insightful and constructive comments that have substantially improved this article. Publisher Copyright: {\textcopyright} 2020 John Wiley & Sons Ltd",
year = "2021",
month = feb,
day = "20",
doi = "10.1002/sim.8815",
language = "English",
volume = "40",
pages = "978--997",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "John Wiley and Sons Ltd",
number = "4",
}